Reward and Punishment Learning as Predictors of Cognitive Behavioral Therapy Response in Parkinson's Disease Comorbid with Clinical Depression.

Depression is highly comorbid among individuals with Parkinson's Disease (PD), who often experience unique challenges to accessing and benefitting from empirically supported interventions like Cognitive Behavioral Therapy (CBT). Given the role of reward processing in both depression and PD, this study analyzed a subset (N = 25) of participants who participated in a pilot telemedicine intervention of PD-informed CBT, and also completed a Reward- and Punishment-Learning Task (RPLT) at baseline. At the conclusion of CBT, participants were categorized into treatment responders (n = 14) and non-responders (n = 11). Responders learned more optimally from negative rather than positive feedback on the RPLT, while this pattern was reversed in non-responders. Computational modeling suggested group differences in learning rate to negative feedback may drive the observed differences. Overall, the results suggest that a within-subject bias for punishment-based learning might help to predict response to CBT intervention for depression in those with PD.Plain Language Summary Performance on a Computerized Task may predict which Parkinson's Disease Patients benefit from Cognitive Behavioral Treatment of Clinical DepressionWhy was the study done? Clinical depression regularly arises in individuals with Parkinson's Disease (PD) due to the neurobiological changes with the onset and progression of the disease as well as the unique psychosocial difficulties associated with living with a chronic condition. Nonetheless, psychiatric disorders among individuals with PD are often underdiagnosed and likewise undertreated for a variety of reasons. The results of our study have implications about how to improve the accuracy and specificity of mental health treatment recommendations in the future to maximize benefits for individuals with PD, who often face additional barriers to accessing quality mental health treatment.What did the researchers do? We explored whether performance on a computerized task called the Reward- and Punishment-Learning Task (RPLT) helped to predict response to Cognitive Behavioral Therapy (CBT) for depression better than other predictors identified in previous studies. Twenty-five individuals with PD and clinical depression that completed a 10-week telehealth CBT program were assessed for: Demographics (Age, gender, etc.); Clinical information (PD duration, mental health diagnoses, levels of anxiety/depression, etc.); Neurocognitive performance (Memory, processing speed, impulse control, etc.); and RPLT performance.What did the researchers find? A total of 14 participants significantly benefitted from CBT treatment while 11 did not significantly benefit from treatment.There were no differences before treatment in the demographics, clinical information, and neurocognitive performance of those participants who ended up benefitting from the treatment versus those who did not.There were, however, differences before treatment in RPLT performance so that those individuals that benefitted from CBT seemed to learn better from negative feedback.What do the findings mean? Our results suggest that the CBT program benefitted those PD patients with clinical depression that seemed to overall learn best from avoiding punishment rather than obtaining reward which was targeted in CBT by focusing on increasing engagement in rewarding activities. The Reward- and Punishment-Learning Task hence may be a useful tool to help predict treatment response and provide more individualized recommendations on how to best maximize the benefits of psychotherapy for individuals with PD that may struggle to connect to mental health care. Caution is recommended about interpretating these results beyond this study as the overall number of participants was small and the data for this study were collected as part of a previous study so there was no opportunity to include additional measurements of interest.

Impairment in recognition memory may be associated with near-term risk for suicide attempt in a high-risk sample.

INTRODUCTION: Prior work has implicated several neurocognitive domains, including memory, in patients with a history of prior suicide attempt. The current study evaluated whether a delayed recognition test could enhance prospective prediction of near-term suicide outcomes in a sample of patients at high-risk for suicide. METHODS: 132 Veterans at high-risk for suicide completed a computer-based recognition memory test including semantically-related and -unrelated words. Outcomes were coded as actual suicide attempt (ASA), other suicide-related event (OtherSE) such as aborted/interrupted attempt or preparatory behavior, or neither (noSE), within 90 days after testing. RESULTS: Reduced performance was a significant predictor of upcoming ASA, but not OtherSE, after controlling for standard clinical variables such as current suicidal ideation and history of prior suicide attempt. However, compared to the noSE reference group, the OtherSE group showed a reduction in the expected benefit of semantic relatedness in recognizing familiar words. A computational model, the drift diffusion model (DDM), to explore latent cognitive processes, revealed the OtherSE group had decreased decisional efficiency for semantically-related compared to semantically-unrelated familiar words. LIMITATIONS: This study was a secondary analysis of an existing dataset, involving participants in a treatment trial, and requires replication; ~10 % of the sample was excluded from analysis due to failure to master the practice tasks and/or apparent noncompliance. CONCLUSION: Impairments in recognition memory may be associated with near-term risk for suicide attempt, and may provide a tool to improve prediction of when at-risk individuals may be transitioning into a period of heightened risk for suicide attempt.

"The highest values are individual": The life and times of Eleanor Harris Rowland Wembridge.

Eleanor Harris Rowland Wembridge, one of the first women psychologists in the country, advocated tirelessly for the delivery of psychological services to enhance the lives of marginalized girls and women. Eleanor launched forward professionally with her doctorate at the young age of 22 and began work 5 years later at the Bedford reformatory that would ultimately lead to the first published correctional psychology research study. This precedent sets the historical marker at the interface of offender assessment, programs, and reentry. A harbinger of the scientist-practitioner model in clinical psychology, Eleanor retained a scholarly approach to her public service psychology work in various academic, correctional, forensic, and military settings across the country. In those public service settings, she heard and reflected the voices of the underserved through her distinctive advocacy, service, and justice writing. Eleanor left behind a largely invisible, but important legacy inside the walls of the correctional institution as an advocate for programs for justice-involved women, and outside the walls of corrections as a model for women psychologists. She is a remarkable figure in the history of public service psychology, and this article eliminates the problem of her absence from the general history of psychology literature. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Pilot testing the Daily Activities List for Inmates (DALI): Item evaluation and content validity.

Scheduling enjoyable daily activities is a Cognitive Behavioral Therapy intervention used in the treatment of depression and substance abuse disorders that are prevalent disorders among inmates. To effectively use this intervention with inmates, an activities list with items ecologically sensitive to the correctional setting needs to be created. The purpose of this study was to develop and evaluate items; thus, establishing a content valid Daily Activities List for Inmates (DALI). Fifteen corrections professionals representing a wide range of disciplines and managerial backgrounds served as subject matter experts (SMEs). Each SME evaluated 403 daily activity items that were aggregated from 4 separate lists. Each item was evaluated in relation to appropriateness for corrections, availability to inmates, need for editing, and where the activity could take place (in cell, out of cell, or both) then analyzed for removal following a criteria-driven, stage-based approach. The final daily activity list consisted of a total 227 items with the majority of the items developed by inmates in a correctional environment enduring through each stage. The majority of all 227 final DALI items were also considered to be used as both in and out of cell activities. An additional 22 items were created through SME suggestions or edits and were reserved for possible future use. With an ecologically sensitive daily activities list for inmates developed, implications for using the DALI to deliver psychological services to inmates are discussed. (PsycINFO Database Record

Collegiate Athletes' Expectations and Experiences with Mindful Sport Performance Enhancement.

Although mindfulness training for athletes is an area of increasing interest, few studies have focused on the qualitative experiences of athletes in such programs. Prior to beginning six sessions of mindful sport performance enhancement (MSPE) training, 45 mixed-sport collegiate athletes reported what they hoped and expected to get from the training, and responded afterward to open-ended questions about their experiences. Participants' responses were coded for themes with high inter-rater reliability. Athletes initially hoped to gain psychological benefits in both sport and everyday life, such as relaxation and less stress or anxiety, better emotion regulation, mental toughness, and self-awareness, as well as sport performance improvement. Overall, they found MSPE to be a positive experience and reported many of the same benefits that they expected. Participants also provided constructive feedback and recommendations for future MSPE training. Finally, there was evidence to suggest that athletes' expectations predicted similar improvements in outcome measures.

Perceptions of Mindfulness in a Low-income, Primarily African American Treatment-Seeking Sample.

Individuals with low socioeconomic status (SES) and members of racial/ethnic minority groups often experience profound disparities in mental health and physical well-being. Mindfulness-based interventions show promise for improving mood and health behaviors in higher-SES and non-Latino White populations. However, research is needed to explore what types of adaptations, if any, are needed to best support underserved populations. This study used qualitative methods to gain information about a) perceptions of mindfulness, b) experiences with meditation, c) barriers to practicing mindfulness, and d) recommendations for tailoring mindfulness-based interventions in a low-income, primarily African American treatment-seeking sample. Eight focus groups were conducted with 32 adults (16 men and 16 women) currently receiving services at a community mental health center. Most participants (91%) were African American. Focus group data were transcribed and analyzed using NVivo 10. A team of coders reviewed the transcripts to identify salient themes. Relevant themes included beliefs that mindfulness practice might improve mental health (e.g., managing stress and anger more effectively) and physical health (e.g., improving sleep and chronic pain, promoting healthier behaviors). Participants also discussed ways in which mindfulness might be consistent with, and even enhance, their religious and spiritual practices. Results could be helpful in tailoring mindfulness-based treatments to optimize feasibility and effectiveness for low-SES adults receiving mental health services.